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Dot Product:
The dot or inner product of two vectors a and b is written as a • b and is defined as
In another words, this is like matrix multiplication when multiplying a row vector a by a column vector b; and the result is a scalar. This can be accomplished by using the * operator and transposing the second vector, or by using the dot function in a MATLAB:
>> vec1 = [4 2 5 1];
>> vec2 = [3 6 1 2];
>> vec1*vec2'
ans =
31
>> dot(vec1,vec2)
Comparing strings: There are few functions which compare strings and return logical true when they are equivalent or logical false when not. The function strcmp compares the s
about sampling theorem
Interpolation and extrapolation: In most cases, it is desired to estimate values other than at the sampled data points. For illustration, we may want to estimate what the temp
Forward elimination: In forward elimination, we want to obtain a 0 in the a 21 position. To accomplish this, we can alter the second line in the matrix by subtracting from it
Function fieldnames - structure functions: The function fieldnames will return the names of the fields which are contained in the structure variable. >> pack_fields = fiel
Gauss Elimination: The Gauss elimination technique consists of: Generating the augmented matrix [A b] Applying EROs to augmented matrix to obtain an upper trian
Basic mathematical operations: All the basic mathematical operations can be executed on symbolic expressions and variables (example, add, raise to a power, multiply, subtract,
#question.
IS Functions for Strings: There are many functions for strings, that return logical true or false. The function isletter returns the logical true when the character is a lette
Displaying expressions: The good-looking function will show such expressions by using exponents; for illustration, >> b = sym('x^2') b = x^2 >> pretty(b)
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